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The Agile answer to your business needs

Irion EDM is Agile by design and has native features for creating Data Management Solutions that address a wide range of needs, regardless of the industry in which your company operates

Metadata-driven Agile by Design

Development by building block

Individually realizable, testable, and deliverable.

Automatic documentation

Generated at any time during the solution development cycle.

Translation into natural language

Created in multiple languages from processing and calculation logic.

On this page, you will find examples of project experiences that illustrate how Irion EDM® can create value for your company, also through our Partner Network. It highlights the main use cases and the different capabilities of the platform employed to meet client requirements, which can be viewed from three perspectives: technological, business, and organizational.

You can request additional details about the experiences presented or contact us to assess your Data Management requirements from scratch: the Solutions are composable, and expert advisors will know how to best address your needs.
Govern and oversee the information asset of your bank, company or business.

Manage the information supply chain, enhance continuously evolving data to make real-time forecasts, assess market risks, and comply with regulations.

Data Quality Powering CFO DWH
Data Quality Powering CFO DWH

Various experiences in finance to ensure the highest quality of the daily process of feeding the corporate DWH containing financial data. High performance is required to track data at source and allow multiple iterations.

Data Quality Quiet Engagement – Auto Policies
Data Quality Quiet Engagement – Auto Policies

Data Quality solution in the process of Quiet Advancement of Auto Policies, both for liability and other guarantees. Checks data completeness and correctness of amounts (installment, renewal) for receipts to be sent to policyholders.

Data Quality Internal Models – TRIM
Data Quality Internal Models – TRIM

Initiatives to support Banks adopting an internal rating model (IRB). Numerous controls monitor the quality of the ratings and allow the model to demonstrate reliability for the dimensions verified in TRIM: PD, LGD, CCF.

Data Quality Solvency II
Data Quality Solvency II

Various experiences gained in response to the introduction of Solvency II signaling framework to ensure highest quality and accountability to various elements in standard formula: Best Estimate Liabilities, USP, SCR calculation…
For Life and Non-life.

Data Quality IFRS9
Data Quality IFRS9

Response to needs that arose from the introduction of IFRS 9 standard to ensure maximum quality and accountability at the valuation application feeding stage. Hundreds of timely and trend checks, with outcomes analysis dashboards.

Data Quality IFRS17
Data Quality IFRS17

Various experiences gained following the introduction of the IFRS 17 standard to ensure maximum quality and accountability to the process of feeding accounting/valuation applications (e.g., SAP) and actuarial systems (e.g., Prophet).

Data Quality Claims Reserves
Data Quality Claims Reserves

Data Quality solution that supports the actuarial function in meeting the requirements of IVASS Regulation 38 inherent in the certification of the data production chain for non-life claims reserves. 200+ checks with diversified frequency.

Data Governance for Customer Data
Data Governance for Customer Data

Synergistically with respect to a Data Quality initiative on Customer master and consumption data, the Solution implements a metadata model with: Business Glossary, Data Dictionary, Vertical and Physical Data Lineage, Rule Catalog, Stakeholder.

Asset Quality Review (AQR)
Asset Quality Review (AQR)

Various experiences in banking responding to the need to extract heterogeneous data from various systems and organize them on the Loan Tape structures provided by BCE, applying numerous checks on the goodness of data input and output.

Data Quality for customer data
Data Quality for customer data

The Solution implements a control framework that allows monitoring of data quality, data location, and relative ownership. This ensures reliability to Customer master and consumption data, then distributed via BI tools.

Did you find anything of interest?
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